Datasheet A12025-1 Anti-NELFB Antibody

Total Page:16

File Type:pdf, Size:1020Kb

Datasheet A12025-1 Anti-NELFB Antibody Product datasheet Anti-NELFB Antibody Catalog Number: A12025-1 BOSTER BIOLOGICAL TECHNOLOGY Special NO.1, International Enterprise Center, 2nd Guanshan Road, Wuhan, China Web: www.boster.com.cn Phone: +86 27 67845390 Fax: +86 27 67845390 Email: [email protected] Basic Information Product Name Anti-NELFB Antibody Gene Name NELFB Source Rabbit IgG Species Reactivity human,mouse,rat Tested Application WB,Direct ELISA Contents 500ug/ml antibody with PBS ,0.02% NaN3 , 1mg BSA and 50% glycerol. Immunogen E. coli-derived human COBRA1 recombinant protein (Position: M1-E252). Purification Immunogen affinity purified. Observed MW 66KD Dilution Ratios Western blot: 1:500-2000 Direct ELISA: 1:100-1000 Storage 12 months from date of receipt,-20℃ as supplied.6 months 2 to 8℃ after reconstitution. Avoid repeated freezing and thawing Background Information Cofactor of BRCA1, also known as COBRA1, is a human gene that encodes NELF-B. NELF-B is a subunit of negative elongation factor (NELF), which also includes NELF-A (WHSC2), either NELF-C or NELF-D (TH1L), and NELF-E (RDBP). NELF acts with DRB sensitivity-inducing factor (DSIF), a heterodimer of SPT4 (SUPT4H1) and SPT5 (SUPT5H), to cause transcriptional pausing of RNA polymerase II. COBRA1 was initially identified in a yeast two-hybrid screen using the BRCT1 domain of BRCA1 as bait. Reference Anti-NELFB Antibody被引用在0文献中。 暂无引用 FOR RESEARCH USE ONLY. NOT FOR DIAGNOSTIC AND CLINICAL USE. 1 Product datasheet Anti-NELFB Antibody Catalog Number: A12025-1 BOSTER BIOLOGICAL TECHNOLOGY Special NO.1, International Enterprise Center, 2nd Guanshan Road, Wuhan, China Web: www.boster.com.cn Phone: +86 27 67845390 Fax: +86 27 67845390 Email: [email protected] Selected Validation Data Figure 1. Western blot analysis of COBRA1 using anti-COBRA1 antibody (A12025-1). Lane 1: rat kidney tissue lysates, Lane 2: mouse kidney tissue lysates, Lane 3: human MDA-MB-231 whole cell lysates. anti- COBRA1 antigen affinity purified polyclonal antibody (Catalog # A12025-1)probed with a goat anti-rabbit IgG-HRP secondary antibody The signal is developed using an Enhanced Chemiluminescent detection (ECL) kit (Catalog # EK1002) . A specific band was detected for COBRA1 at approximately 66KD. The expected band size for COBRA1 is at 66KD. FOR RESEARCH USE ONLY. NOT FOR DIAGNOSTIC AND CLINICAL USE. 2 Powered by TCPDF (www.tcpdf.org).
Recommended publications
  • Analysis of Trans Esnps Infers Regulatory Network Architecture
    Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2014 © 2014 Anat Kreimer All rights reserved ABSTRACT Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer eSNPs are genetic variants associated with transcript expression levels. The characteristics of such variants highlight their importance and present a unique opportunity for studying gene regulation. eSNPs affect most genes and their cell type specificity can shed light on different processes that are activated in each cell. They can identify functional variants by connecting SNPs that are implicated in disease to a molecular mechanism. Examining eSNPs that are associated with distal genes can provide insights regarding the inference of regulatory networks but also presents challenges due to the high statistical burden of multiple testing. Such association studies allow: simultaneous investigation of many gene expression phenotypes without assuming any prior knowledge and identification of unknown regulators of gene expression while uncovering directionality. This thesis will focus on such distal eSNPs to map regulatory interactions between different loci and expose the architecture of the regulatory network defined by such interactions. We develop novel computational approaches and apply them to genetics-genomics data in human. We go beyond pairwise interactions to define network motifs, including regulatory modules and bi-fan structures, showing them to be prevalent in real data and exposing distinct attributes of such arrangements. We project eSNP associations onto a protein-protein interaction network to expose topological properties of eSNPs and their targets and highlight different modes of distal regulation.
    [Show full text]
  • Virus Interactions with Human Signal Transduction Pathways
    Int. J. Computational Biology and Drug Design, Vol. 4, No. 1, 2011 83 Virus interactions with human signal transduction pathways Zhongming Zhao Departments of Biomedical Informatics, Psychiatry, and Cancer Biology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA E-mail: [email protected] Junfeng Xia Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA E-mail: [email protected] Oznur Tastan Language Technologies Institute, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA E-mail: [email protected] Irtisha Singh Department of Structural Biology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA E-mail: [email protected] Meghana Kshirsagar Language Technologies Institute, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA E-mail: [email protected] Copyright © 2011 Inderscience Enterprises Ltd. 84 Z. Zhao et al. Jaime Carbonell Language Technologies Institute, Computer Science Department, Machine Learning Department and Lane Center for Computational Biology, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA E-mail: [email protected] Judith Klein-Seetharaman* Department of Structural Biology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA E-mail: [email protected] *Corresponding author Abstract: Viruses depend on their hosts at every stage of their life cycles and must therefore communicate with them via Protein-Protein Interactions (PPIs). To investigate the mechanisms of communication by different viruses, we overlay reported pairwise human-virus PPIs on human signalling pathways. Of 671 pathways obtained from NCI and Reactome databases, 355 are potentially targeted by at least one virus.
    [Show full text]
  • BRCA1-Dependent Transcriptional Regulation: Implication in Tissue-Specific Tumor Suppression
    cancers Review BRCA1-Dependent Transcriptional Regulation: Implication in Tissue-Specific Tumor Suppression Xiaowen Zhang * and Rong Li * Department of Biochemistry & Molecular Medicine, School of Medicine & Health Sciences, The George Washington University, Washington, DC 20037, USA * Correspondence: [email protected] (X.Z.); [email protected] (R.L.) Received: 14 October 2018; Accepted: 11 December 2018; Published: 14 December 2018 Abstract: Germ-line mutations in breast cancer susceptibility gene 1 (BRCA1) predominantly predispose women to breast and ovarian cancers. BRCA1 is best known for its functions in maintenance of genomic integrity including repairing DNA double-strand breaks through homologous recombination and suppressing DNA replication stress. However, whether these universally important BRCA1 functions in maintenance of genomic stability are sufficient to account for its tissue-specific tumor-suppressing function remains unclear. Accumulating evidence indicates that there are previously underappreciated roles of BRCA1 in transcriptional regulation and chromatin remodeling. In this review, we discuss the functional significance of interactions between BRCA1 and various transcription factors, its role in epigenetic regulation and chromatin dynamics, and BRCA1-dependent crosstalk between the machineries of transcription and genome integrity. Furthermore, we propose a model of how transcriptional regulation could contribute to tissue-dependent tumor-suppressing function of BRCA1. Keywords: BRCA1; transcriptional regulation; epigenetic regulation; chromatin organization 1. Introduction Approximately 0.2% to 0.3% of the general population in the United States carries germ-line mutations in the tumor suppressor gene BRCA1 (BRCA1mut/+)[1,2]. Unlike tumor suppressors such as p53 that are implicated in a broad spectrum of cancers, BRCA1 functions in a gender- and tissue-specific manner.
    [Show full text]
  • 3020.Full-Text.Pdf
    Published OnlineFirst March 30, 2015; DOI: 10.1158/1078-0432.CCR-14-2804 Biology of Human Tumors Clinical Cancer Research DNA Methylation Profiling in Pheochromocytoma and Paraganglioma Reveals Diagnostic and Prognostic Markers Aguirre A. de Cubas1, Esther Korpershoek2, Lucia Inglada-Perez 1,3, Eric Letouze4, Maria Curras-Freixes 1, Agustin F. Fernandez 5,Inaki~ Comino-Mendez 1, Francesca Schiavi6, Veronika Mancikova1, Graeme Eisenhofer7,8, Massimo Mannelli9, Guiseppe Opocher6,10, Henri Timmers11, Felix Beuschlein12, Ronald de Krijger13, Alberto Cascon1,3, Cristina Rodríguez-Antona1,3, Mario F. Fraga5,14, Judith Favier15,16, Anne-Paule Gimenez-Roqueplo15,16,17,18, and Mercedes Robledo1,3 Abstract Purpose: Pheochromocytoma and paraganglioma (PPGL) are these, 48 CpGs showed significant associations with time to rare neuroendocrine tumors, associated with highly variable progression even after correcting for SDHB genotype, suggesting postoperative evolution. The scarcity of reliable PPGL prognostic their value as prognostic markers independent of genetic back- markers continues to complicate patient management. In this ground. Hypermethylation of RDBP (negative elongation study, we explored genome-wide DNA methylation patterns in factor complex member E) in metastatic tumors was further the context of PPGL malignancy to identify novel prognostic validated by bisulfite pyrosequencing [Dbmetastatic-benign ¼ 0.29, markers. P ¼ 0.003; HR, 1.4; 95% confidence interval (CI), 1.1–2.0; P ¼ Experimental Design: We retrospectively investigated DNA 0.018] and may alter transcriptional networks involving (RERG, methylation patterns in PPGL with and without metastases using GPX3, and PDZK1) apoptosis, invasion, and maintenance of high-throughput DNA methylation profiling data (Illumina 27K) DNA integrity. from two large, well-characterized discovery (n ¼ 123; 24 met- Conclusions: This is the first large-scale study of DNA methy- astatic) and primary validation (n ¼ 154; 24 metastatic) series.
    [Show full text]
  • Bayesian Hierarchical Modeling of High-Throughput Genomic Data with Applications to Cancer Bioinformatics and Stem Cell Differentiation
    BAYESIAN HIERARCHICAL MODELING OF HIGH-THROUGHPUT GENOMIC DATA WITH APPLICATIONS TO CANCER BIOINFORMATICS AND STEM CELL DIFFERENTIATION by Keegan D. Korthauer A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Statistics) at the UNIVERSITY OF WISCONSIN–MADISON 2015 Date of final oral examination: 05/04/15 The dissertation is approved by the following members of the Final Oral Committee: Christina Kendziorski, Professor, Biostatistics and Medical Informatics Michael A. Newton, Professor, Statistics Sunduz Kele¸s,Professor, Biostatistics and Medical Informatics Sijian Wang, Associate Professor, Biostatistics and Medical Informatics Michael N. Gould, Professor, Oncology © Copyright by Keegan D. Korthauer 2015 All Rights Reserved i in memory of my grandparents Ma and Pa FL Grandma and John ii ACKNOWLEDGMENTS First and foremost, I am deeply grateful to my thesis advisor Christina Kendziorski for her invaluable advice, enthusiastic support, and unending patience throughout my time at UW-Madison. She has provided sound wisdom on everything from methodological principles to the intricacies of academic research. I especially appreciate that she has always encouraged me to eke out my own path and I attribute a great deal of credit to her for the successes I have achieved thus far. I also owe special thanks to my committee member Professor Michael Newton, who guided me through one of my first collaborative research experiences and has continued to provide key advice on my thesis research. I am also indebted to the other members of my thesis committee, Professor Sunduz Kele¸s,Professor Sijian Wang, and Professor Michael Gould, whose valuable comments, questions, and suggestions have greatly improved this dissertation.
    [Show full text]
  • Download Download
    Supplementary Figure S1. Results of flow cytometry analysis, performed to estimate CD34 positivity, after immunomagnetic separation in two different experiments. As monoclonal antibody for labeling the sample, the fluorescein isothiocyanate (FITC)- conjugated mouse anti-human CD34 MoAb (Mylteni) was used. Briefly, cell samples were incubated in the presence of the indicated MoAbs, at the proper dilution, in PBS containing 5% FCS and 1% Fc receptor (FcR) blocking reagent (Miltenyi) for 30 min at 4 C. Cells were then washed twice, resuspended with PBS and analyzed by a Coulter Epics XL (Coulter Electronics Inc., Hialeah, FL, USA) flow cytometer. only use Non-commercial 1 Supplementary Table S1. Complete list of the datasets used in this study and their sources. GEO Total samples Geo selected GEO accession of used Platform Reference series in series samples samples GSM142565 GSM142566 GSM142567 GSM142568 GSE6146 HG-U133A 14 8 - GSM142569 GSM142571 GSM142572 GSM142574 GSM51391 GSM51392 GSE2666 HG-U133A 36 4 1 GSM51393 GSM51394 only GSM321583 GSE12803 HG-U133A 20 3 GSM321584 2 GSM321585 use Promyelocytes_1 Promyelocytes_2 Promyelocytes_3 Promyelocytes_4 HG-U133A 8 8 3 GSE64282 Promyelocytes_5 Promyelocytes_6 Promyelocytes_7 Promyelocytes_8 Non-commercial 2 Supplementary Table S2. Chromosomal regions up-regulated in CD34+ samples as identified by the LAP procedure with the two-class statistics coded in the PREDA R package and an FDR threshold of 0.5. Functional enrichment analysis has been performed using DAVID (http://david.abcc.ncifcrf.gov/)
    [Show full text]
  • Proteomic Analysis Uncovers Measles Virus Protein C Interaction with P65
    bioRxiv preprint doi: https://doi.org/10.1101/2020.05.08.084418; this version posted May 9, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Proteomic Analysis Uncovers Measles Virus Protein C Interaction with p65/iASPP/p53 Protein Complex Alice Meignié1,2*, Chantal Combredet1*, Marc Santolini 3,4, István A. Kovács4,5,6, Thibaut Douché7, Quentin Giai Gianetto 7,8, Hyeju Eun9, Mariette Matondo7, Yves Jacob10, Regis Grailhe9, Frédéric Tangy1**, and Anastassia V. Komarova1, 10** 1 Viral Genomics and Vaccination Unit, Department of Virology, Institut Pasteur, CNRS UMR-3569, 75015 Paris, France 2 Université Paris Diderot, Sorbonne Paris Cité, Paris, France 3 Center for Research and Interdisciplinarity (CRI), Université de Paris, INSERM U1284 4 Network Science Institute and Department of Physics, Northeastern University, Boston, MA 02115, USA 5 Department of Physics and Astronomy, Northwestern University, Evanston, IL 60208-3109, USA 6 Department of Network and Data Science, Central European University, Budapest, H-1051, Hungary 7 Proteomics platform, Mass Spectrometry for Biology Unit (MSBio), Institut Pasteur, CNRS USR 2000, Paris, France. 8 Bioinformatics and Biostatistics Hub, Computational Biology Department, Institut Pasteur, CNRS USR3756, Paris, France 9 Technology Development Platform, Institut Pasteur Korea, Seongnam-si, Republic of Korea 10 Laboratory of Molecular Genetics of RNA Viruses, Institut Pasteur, CNRS UMR-3569,
    [Show full text]
  • XIAO-DISSERTATION-2015.Pdf
    CELLULAR AND PROCESS ENGINEERING TO IMPROVE MAMMALIAN MEMBRANE PROTEIN EXPRESSION By Su Xiao A dissertation is submitted to Johns Hopkins University in conformity with the requirements for degree of Doctor of Philosophy Baltimore, Maryland May 2015 © 2015 Su Xiao All Rights Reserved Abstract Improving the expression level of recombinant mammalian proteins has been pursued for production of commercial biotherapeutics in industry, as well as for biomedical studies in academia, as an adequate supply of correctly folded proteins is a prerequisite for all structure and function studies. Presented in this dissertation are different strategies to improve protein functional expression level, especially for membrane proteins. The model protein is neurotensin receptor 1 (NTSR1), a hard-to- express G protein-coupled receptor (GPCR). GPCRs are integral membrane proteins playing a central role in cell signaling and are targets for most of the medicines sold worldwide. Obtaining adequate functional GPCRs has been a bottleneck in their structure studies because the expression of these proteins from mammalian cells is very low. The first strategy is the adoption of mammalian inducible expression system. A stable and inducible T-REx-293 cell line overexpressing an engineered rat NTSR1 was constructed. 2.5 million Functional copies of NTSR1 per cell were detected on plasma membrane, which is 167 fold improvement comparing to NTSR1 constitutive expression. The second strategy is production process development including suspension culture adaptation and induction parameter optimization. A further 3.5 fold improvement was achieved and approximately 1 milligram of purified functional NTSR1 per liter suspension culture was obtained. This was comparable yield to the transient baculovirus- insect cell system.
    [Show full text]
  • Cofactor of BRCA1: a New Genetic Marker for Common Malignant Liver Cancer
    RESEARCH HIGHLIGHTS doi: 10.18282/amor.v2.i4.157 Cofactor of BRCA1: A new genetic marker for common malignant liver cancer new study has identified a vital gene in the pathogenesis and progression of liver cancer hepatocellular carcinoma (HCC), according to a A team of researchers at The American University in Cairo, Egypt, in a paper published in this issue of AMOR. The study on human gene ‘cofactor of BRCA1’ (dubbed COBRA1) and its potential role as a reliable cancer predictor for HCC is especially important owing to the disease’s grim outlook. HCC is “ranked as the second most common cause of cancer-related deaths in the world in 2012,” the authors said. “Thus, it is considered as a highly aggressive cancer with poor prognosis,” they added. The behavior of COBRA1 in the development and pro- gression of several cancers has previously been studied and established. Youssef observed, “For example, cell lines and tissues isolated from late-stage metastatic breast cancer tumors showed low expression levels of the COBRA1 protein, which is known to display tumor suppressor activ- ity.” In contrast, “another study reported that COBRA1 was overexpressed in upper gastrointestinal carcinoma (UGC) tissue samples,” they added. Yet, COBRA1’s involvement in HCC tumor formation and growth has been subjected to minimal studies. “To date, the molecular mechanisms underlying HCC patho- genesis have not been fully identified, thus resulting in a lack of reliable prognostic markers for HCC,” said the re- According to data from the Surveillance Epidemiology searchers. and End Results (SEER) program, hepatocellular carcino- ma accounts for 90% of all liver cancers worldwide.
    [Show full text]
  • Signal-Oriented Pathway Analyses Reveal a Signaling Complex As a Synthetic
    Author Manuscript Published OnlineFirst on October 10, 2016; DOI: 10.1158/0008-5472.CAN-16-1740 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Signal-oriented pathway analyses reveal a signaling complex as a synthetic lethal target for p53 mutations Songjian Lu1,2,*, Chunhui Cai1,2,*, Gonghong Yan3,4,5,*, Zhuan Zhou3,6, Yong Wan3,6, Vicky Chen1,2, Lujia Chen1,2, Gregory F. Cooper1,2, Lina M. Obeid7, Yusuf A. Hannun7, Adrian V. Lee2,3,4,5§ and Xinghua Lu1,2,§ 1Department of Biomedical Informatics, 2Center for Causal Discovery, 3University of Pittsburgh Cancer Institute, 4Department of Pharmacology and Chemical Biology, 5Magee-Womens Research Institute, 6Department of Cell Biology, Pittsburgh, PA, 7 Department of Medicine, the State University of New York at Stony Brook, Stony Brook, NY * These authors contributed equally to this work § Corresponding Authors: Xinghua Lu, Adrian V Lee Email: [email protected] and [email protected] The authors declare no conflict of interest pertaining to this manuscript. 1 Downloaded from cancerres.aacrjournals.org on September 27, 2021. © 2016 American Association for Cancer Research. Author Manuscript Published OnlineFirst on October 10, 2016; DOI: 10.1158/0008-5472.CAN-16-1740 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Abstract Defining processes that are synthetic lethal with p53 mutations in cancer cells may reveal possible therapeutic strategies. In this study, we report the development of a signal-oriented computational framework for cancer pathway discovery in this context. We applied our bipartite- graph-based functional module discovery algorithm to identify transcriptomic modules abnormally expressed in multiple tumors, such that the genes in a module were likely regulated by a common, perturbed signal.
    [Show full text]
  • NELF-Mediated Stalling of Pol II Can Enhance Gene Expression by Blocking Promoter-Proximal Nucleosome Assembly
    Downloaded from genesdev.cshlp.org on September 25, 2021 - Published by Cold Spring Harbor Laboratory Press NELF-mediated stalling of Pol II can enhance gene expression by blocking promoter-proximal nucleosome assembly Daniel A. Gilchrist,1 Sergei Nechaev,1 Chanhyo Lee,2 Saikat Kumar B. Ghosh,2 Jennifer B. Collins,3 Leping Li,4 David S. Gilmour,2 and Karen Adelman1,3,5 1Laboratory of Molecular Carcinogenesis, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina 27709, USA; 2Department of Biochemistry and Molecular Biology, Center for Gene Regulation, The Pennsylvania State University, University Park, Pennsylvania 16802, USA; 3Microarray Group, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina 27709, USA; 4Biostatistics Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina 27709, USA The Negative Elongation Factor (NELF) is a transcription regulatory complex that induces stalling of RNA polymerase II (Pol II) during early transcription elongation and represses expression of several genes studied to date, including Drosophila Hsp70, mammalian proto-oncogene junB, and HIV RNA. To determine the full spectrum of NELF target genes in Drosophila, we performed a microarray analysis of S2 cells depleted of NELF and discovered that NELF RNAi affects many rapidly inducible genes involved in cellular responses to stimuli. Surprisingly,
    [Show full text]
  • Wolf-Hirschhorn Syndrome
    Wolf-Hirschhorn syndrome Author: Dr. Dagmar Wieczorek Creation date: September 2003 Scientific editor: Professor Alain Verloes Institut fur Humangenetik, Universitatsklinikum Essen, Hufelandstrasse 55, 45122 Essen, Germany. [email protected] Abstract Key words Disease name and synonyms Excluded diseases Diagnostic criteria/ definition Differential diagnosis Frequency Clinical description Management including treatment Etiology Diagnostic methods Genetic counseling Antenatal diagnosis Unresolved questions References Abstract Wolf-Hirschhorn syndrome (WHS) is caused by a deletion of the band 4p16.3 and this deletion may be submicroscopic. The craniofacial phenotype (microcephaly, hypertelorism, prominent glabella, broad and/or beaked nose, short philtrum, micrognathia, downturned corners of the mouth, dysplastic ears, preauricular tags) in combination with mental retardation, seizures, congenital heart defects, genital and renal anomalies is indicative for the diagnosis. A familial translocation is responsible for 5 – 13% of the patients. The remainder of the patients have de novo deletions, usually on the paternal chromosome 4, or de novo translocations in 1.6 %. Submicroscopic deletions require molecular techniques, e.g. microsatellite analysis, or molecular-cytogenetic techniques, e.g. fluorescence in situ hybridisation (FISH), to detect the deletion. Fluorescence in situ hybridisation of the patient and his parents should be performed to confirm/exclude translocations. Recurrence risk is low in de novo deletions and translocations,
    [Show full text]